[Clinical features of 23 neonates infected with Omicron variant of severe acute respiratory syndrome coronavirus 2]. / æ–°ç”Ÿå„¿æ–°åž‹å† çŠ¶ç— æ¯’Omicronå˜å¼‚æ ªæ„ŸæŸ“23例临床分析.

OBJECTIVES: To summarize the clinical features of neonates infected with Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: The medical data of 23 neonates with Omicron variant of SARS-CoV-2 infection admitted to the City North Campus of Urumqi First People's Hospital from October to December 2022 were retrospectively reviewed. RESULTS: All 23 infants had a history of exposure to confirmed caregivers with SARS-CoV-2 infection after birth, and none of them was vertically transmitted. Clinical classification: 5 cases of asymptomatic infection, 18 cases of mild infection, and no cases of moderate, severe, or critically ill. The first symptoms were fever in 13 cases, cough in 3 cases, nasal congestion in 1 case, and diarrhea in 1 case. Blood white blood cell counts decreased in 2 cases, and C-reactive protein increased in 1 case. Seven infants underwent chest X-ray examination due to cough or shortness of breath, and one of which showed focal exudative changes, while the rest showed no abnormal changes. All infants were discharged after symptomatic treatment and the median hospital stay was 6 days. The duration of nucleic acid positivity of SARS-CoV-2 was negatively correlated with N gene Ct values and ORF1ab gene Ct values (rs=-0.719 and -0.699, respectively; P<0.05). One month after discharge, all infants had no symptoms or signs of nucleic acid re-positivity. CONCLUSIONS: The clinical manifestations are usually mild or asymptomatic in neonates infected with SARS-CoV-2 Omicron variant. The lower the Ct values of the N and ORF1ab genes of SARS-CoV-2, the longer the duration of nucleic acid positivity. Neonates infected with SARS-CoV-2 Omicron variant can have a good prognosis after symptomatic treatment.

Early autoimmunity and outcome in virus encephalitis: a retrospective study based on tissue-based assay.

To explore the autoimmune response and outcome in the central nervous system (CNS) at the onset of viral infection and correlation between autoantibodies and viruses. METHODS: A retrospective observational study was conducted in 121 patients (2016-2021) with a CNS viral infection confirmed via cerebrospinal fluid (CSF) next-generation sequencing (cohort A). Their clinical information was analysed and CSF samples were screened for autoantibodies against monkey cerebellum by tissue-based assay. In situ hybridisation was used to detect Epstein-Barr virus (EBV) in brain tissue of 8 patients with glial fibrillar acidic protein (GFAP)-IgG and nasopharyngeal carcinoma tissue of 2 patients with GFAP-IgG as control (cohort B). RESULTS: Among cohort A (male:female=79:42; median age: 42 (14-78) years old), 61 (50.4%) participants had detectable autoantibodies in CSF. Compared with other viruses, EBV increased the odds of having GFAP-IgG (OR 18.22, 95% CI 6.54 to 50.77, p<0.001). In cohort B, EBV was found in the brain tissue from two of eight (25.0%) patients with GFAP-IgG. Autoantibody-positive patients had a higher CSF protein level (median: 1126.00 (281.00-5352.00) vs 700.00 (76.70-2899.00), p<0.001), lower CSF chloride level (mean: 119.80±6.24 vs 122.84±5.26, p=0.005), lower ratios of CSF-glucose/serum-glucose (median: 0.50[0.13-0.94] vs 0.60[0.26-1.23], p=0.003), more meningitis (26/61 (42.6%) vs 12/60 (20.0%), p=0.007) and higher follow-up modified Rankin Scale scores (1 (0-6) vs 0 (0-3), p=0.037) compared with antibody-negative patients. A Kaplan-Meier analysis revealed that autoantibody-positive patients experienced significantly worse outcomes (p=0.031). CONCLUSIONS: Autoimmune responses are found at the onset of viral encephalitis. EBV in the CNS increases the risk for autoimmunity to GFAP.

[Exploration and example interpretation of real-world herbal prescription classification based on similarity matching algorithm].

In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.

Telehealth in Medicine: Predictions 2023–2024

Each year, Telehealth and Medicine Today asks experts in the field to share their insights into the future and predict how telehealth will influence uptake and healthcare in the new year.

[Effect of Family Environment on Non-Suicidal Self-Injury Among Middle School Students During the COVID-19 Epidemic: The Mediating Role of Depression].

Objective: To study the current status of non-suicidal self-injury (NSSI) incidents among middle school students in Chengdu during the COVID-19 epidemic and to explore the mechanism of action of depression on the relationship between family environment and NSSI. Methods: Data were obtained from the Chengdu Positive Child Development (CDPD) cohort. In June and July 2020, after primary and secondary schools were reopened after the closure due to the COVID-19 epidemic, on-site questionnaire surveys were conducted with the Deliberate Self-Harm Inventory (DSHI), the Chinese Family Assessment Instrument (C-FAI), and Center for Epidemiologic Studies Depression Scale for Children (CES-DC), thereby obtaining the data of 3595 middle school students. Two-sample t-test and χ 2 test were used to compare the incidence of NSSI among middle school students of different grades and genders, and the Model 58 test of the SPSS PROCESS component was used to analyze the mediating effect of gender-mediated depression. Results: 1) The incidence of NSSI among middle school students in Chengdu during the COVID-19 epidemic was 49.67%. The incidence of NSSI among ninth-graders (80.70%) was significantly higher than those of the eighth graders (33.82%) and seventh graders (32.32%), and the incidence of NSSI among female middle school students (54.75%) was significantly higher than that of male students (44.52%). 2) Family environment ( r=0.34, P<0.001) and depression ( r=0.50, P<0.001) were positively correlated with NSSI. 3) Depression partially mediated the effect of family environment on NSSI, with the mediating effect accounting for 64.64% of the total effect. Compared with that of male students, the positive predictive effect between family environment and depression and that between depression and NSSI in female middle school students were more significant. Conclusion: During the COVID-19 pandemic, middle school students in Chengdu had a high incidence of NSSI, which indicates that the family environment should be improved, more attention should be given to gender differences, and early screening and intervention for depression should be strengthened to reduce the incidence of NSSI.

Mental health and fatigue status of the medical workforce during the COVID-19 outbreak in the Yangzhou city, China.

Background: When the coronavirus disease 2019 (COVID-19) erupted in Yangzhou, China, at the end of July 2021, medical workers in Yangzhou immediately joined the frontline for the fight against the pandemic. This study aimed to identify the mental health and fatigue experienced by the medical workers in Yangzhou during the COVID-19 outbreak. Methods: We included 233 medical workers who participated in the front-line work for more than 1 month through the questionnaire, including doctors, nurses, medical technicians and medical students. The generalized anxiety disorder-7 (GAD-7), patient health questionnaire-9 (PHQ-9), and Fatigue self-assessment scale (FSAS) were administered to the participants and their responses were evaluated. Results: A total of 233 eligible questionnaires were received. Among them, 130 people (57.08%) were probably anxious and 141 (60.52%) people were clinically depressed. Poor sleep was considered an independent risk factor for anxiety (OR = 7.164, 95% CI: 3.365 15.251, p = 0.000) and depression (OR = 6.899, 95% CI: 3.392 14.030, p = 0.000). A high PHQ-9 score was considered an independent risk factor for general fatigue (OR = 1.697, 95% CI: 1.481 1.944, p = 0.000). Mental fatigue (OR = 1.092, 95% CI: 1.027 1.161, p = 0.005) and fatigue response to sleep/rest (OR = 1.043, 95% CI: 1.011 1.076 p = 0.008) were considered independent risk factors for general fatigue. Conclusion: Poor quality of sleep led to probable anxiety, depression, and general fatigue. Mental fatigue and fatigue response to sleep/rest were independent risk factors for depression, which merits attention for battling COVID-19.

Health disparities in COVID-19: Immune and vascular changes are linked to disease severity and persist in a high-risk population in Riverside County, California (preprint)

Background Disparities in COVID-19 disease outcomes exist in Hispanic individuals, especially those with pre-existing health conditions. Infected individuals can develop “long COVID” with sustained impacts on overall quality of life. The goal of this study was to investigate the impact of COVID-19 infection and long COVID in Hispanic individuals and identify immune and endothelial factors that are associated with COVID-19 outcomes.Methods 112 participants in Riverside County, California, were recruited and categorized according to the following criteria: healthy control (n = 23), moderate infection (outpatient, n = 33), and severe infection (hospitalized, n = 33). Differences in outcomes between Hispanic and non-Hispanic individuals and presence/absence of comorbidities were evaluated. Circulating immune and vascular biomarkers and immune cell subsets were measured by ELISA, multiplex analyte assays, and flow cytometry. Follow-up assessments for long COVID, lung health, and immune and vascular changes were conducted (n = 23) including paired analyses of the same participants.Results Compared to uninfected controls, the severe infection group had a higher proportion of Hispanic individuals (n = 23, p = 0.012), but there was no difference between uninfected controls and those with moderate infection (n = 8, p = 0.550). Disease severity was associated with changes in innate monocytes and neutrophils and lymphopenia, disrupted cytokine production (increased IL-8 and IP-10/CXCL10 but reduced IFNλ2/3 and IFNγ), and increased endothelial injury (myoglobin, VCAM-1). In the severe infection group, integration of parameters through machine learning identified NGAL/LCN2, IL-6, and monocyte activation as parameters associated with fatality, whereas anti-coagulant therapy was linked to survival. Recovery from moderate COVID infection resulted in long-term immune changes including increased monocytes/lymphocytes and decreased neutrophils and endothelial markers. This group had a lower proportion of comorbidities (n = 8, p = 1.0) but still reported symptoms associated with long COVID despite recovered lung health.Conclusion This study indicates increased severity of COVID-19 infections in Hispanic individuals of Riverside County, California. Infection resulted in immunological and vascular changes and long COVID symptoms that were sustained for up to 11 months, however, lung function (volume and airflow resistance) was recovered. Given the behavioral and immune impacts of long COVID, the potential for increased susceptibility to infections and decreased quality of life, especially in high-risk populations, warrants further investigation.

Factors Associated with Adherence to Provider Referrals for Lung Cancer Screening with Low Dose Computed Tomography: Pre- and Post-COVID-19 Analysis (preprint)

Background Lung cancer has been the leading cause of American deaths from cancer. Although Medicare started covering lung cancer screening (LCS) with low-dose computed tomography (LDCT) in 2015, the uptake of LDCT-LCS remains low. This study examines the changes in adherence to provider referrals for LDCT-LCS and the factors at patient, provider, and health system levels that influence the completion rate of LDCT-LCS orders before and during the COVID-19 pandemic.Methods Our study examined electronic health record data (December 2013 - December 2020) from a large, community-based clinical healthcare delivery system in California. We plotted monthly trends in the frequency of LDCT-LCS orders and completion rate and compared the annual LDCT-LCS completion rate between LCS-eligible and LCS-ineligible groups. We then explored multilevel factors associated with the completion of LDCT-LCS orders using hierarchical generalized linear models.Results There was an increase in LDCT-LCS orders (N = 12,469) from 2013 to 2019, followed by a sharp decline in March 2020 due to the onset of the COVID-19 pandemic. Thereafter, LDCT-LCS orders slowly increased again in June 2020. The completion rate of LDCT-LCS increased from 0% in December 2013 to approximately 70% in 2018–2019 but declined to 50–60% in 2020 during the pandemic. Ineligible patients had lower completion rates of LDCT-LCS. Patients who were new to the healthcare system, Black, received the LDCT-LCS order in the first few years after Medicare coverage (2016 or 2017), during the pandemic, had major comorbidities, and smoked less than 30 pack-years were less likely to complete an order. Patients were more likely to complete LDCT-LCS orders if they were younger, received the LDCT-LCS order from a physician (vs. nonphysician provider), from family medicine or other specialties (vs. internal medicine), or saw a provider with more experience in LDCT-LCS.Conclusions The beginning of the COVID-19 pandemic largely decreased the volume of LDCT-LCS orders, but rates have since been slowing recovering. Future interventions to improve lung cancer screening should consider doing more targeted outreach to new patients and Black patients as well as providing additional education to nonphysician practitioners and those providers with lower rates of LDCT-LCS referral orders.

COVID-19 reduced age differences in social motivation.

Socioemotional selectivity theory (SST) maintains that when futures loom large, as they typically do in youth, people are motivated to explore. When future time is perceived as more limited, as is typical in old age, people are motivated to pursue emotionally meaningful goals. Because the COVID-19 pandemic primed mortality across the age spectrum, it provided an opportunity to examine whether age differences in social motivation typically observed were also present during the pandemic. We measured social motivation, as operationalized by social preferences, in two studies during peak of the pandemic in 2020. Once vaccines were introduced in 2021, we conducted two additional studies using the same experimental paradigm. As hypothesized, at the peak of the pandemic, social preferences favored emotionally meaningful partners regardless of age. Social preferences differed by age (as reliably observed in research conducted before the pandemic) when vaccines were available. Findings suggest that widely documented age differences in social motivation reflect time horizons more than chronological age.

Assessing patient safety culture in obstetrics ward: a pilot study using a modified Manchester Patient Safety Framework in China.

AIM: The primary objective of this study was to assess the patient safety culture in a general hospital in Shanghai, China, through a modified Manchester Patient Safety Framework (MaPSaF). DESIGN: This study has a qualitative interview design. Data were collected through group interviews and analyses performed through content analysis. METHODS: The MaPSaF was translated into Chinese and used to assess the patient safety culture in a large general hospital in Shanghai, China. Group interviews using the MaPSaF were conducted with 15 nurses in the obstetric ward. Participants rated their safety practice individually on each of the nine MaPSaF safety culture dimensions. The dimensions and scores were then collectively discussed and a practice-wide consensus score for each dimension was agreed. Discussions were recorded, transcribed and analysed to assess patient safety in the obstetric ward. RESULTS: It took about 2 hr to complete the discussion focusing on patients' safety employing the MaPSaF. Most participants recognized the process as acceptable and useful. The MaPSaF directed team discussion about patient safety issues and facilitated communication, prompting some practice changes. All participants responded positively to the discussion and perceived MaPSaF as a good safety culture assessment tool, with clear, comprehensive and understandable entries. The process demonstrated that the department of obstetrics in the hospital already had a positive patient safety culture, but certain areas were highlighted as still needing improvement. Based on participants' positive experience and perception of the MaPSaF, it can be concluded that there is potential benefit in its adaptation and use in obstetrics wards of Chinese hospitals. The MaPSaF has the potential to strengthen existing safety cultures and improve general safety through collaborative measures.

COVID-19 reduced age differences in social motivation

Socioemotional selectivity theory (SST) maintains that when futures loom large, as they typically do in youth, people are motivated to explore. When future time is perceived as more limited, as is typical in old age, people are motivated to pursue emotionally meaningful goals. Because the COVID-19 pandemic primed mortality across the age spectrum, it provided an opportunity to examine whether age differences in social motivation typically observed were also present during the pandemic. We measured social motivation, as operationalized by social preferences, in two studies during peak of the pandemic in 2020. Once vaccines were introduced in 2021, we conducted two additional studies using the same experimental paradigm. As hypothesized, at the peak of the pandemic, social preferences favored emotionally meaningful partners regardless of age. Social preferences differed by age (as reliably observed in research conducted before the pandemic) when vaccines were available. Findings suggest that widely documented age differences in social motivation reflect time horizons more than chronological age.

Inoculation works and health advocacy backfires: Building resistance to COVID-19 vaccine misinformation in a low political trust context.

This study examines the effectiveness of the inoculation strategy in countering vaccine-related misinformation among Hong Kong college students. A three-phase between-subject experiment (n = 123) was conducted to compare the persuasive effects of inoculation messages (two-sided messages forewarning about misinformation related to COVID-19 vaccines), supportive messages (conventional health advocacy), and no message control. The results show that inoculation messages were superior to supportive messages at generating resistance to misinformation, as evidenced by more positive vaccine attitudes and stronger vaccine intention. Notably, while we expected the inoculation condition would produce more resistance than the control condition, there was little evidence in favor of this prediction. Attitudinal threat and counterarguing moderated the experimental effects; issue involvement and political trust were found to directly predict vaccine attitudes and intention. The findings suggest that future interventions focus on developing preventive mechanisms to counter misinformation and spreading inoculation over the issue is an effective strategy to generate resistance to misinformation. Interventions should be cautious about using health advocacy initiated by governments among populations with low political trust.

Chest computed tomography and pulmonary function analysis of coronavirus disease 2019 survivors in 1 month follow-up period after cure and discharge

OBJECTIVE: The objective is to explore the chest computed tomography (CT) and pulmonary function findings of coronavirus disease 2019 (COVID-19) survivors 1 month after discharge. METHODS: We retrospectively analyzed the chest CT and pulmonary function findings of 158 (COVID-19) survivors who were discharged and followed up at Wuhan Red Cross Hospital from April 9 to May 10, 2020. RESULTS: Follow-up chest CT revealed that pulmonary lesions in all patients were clearly absorbed and dissipated. One month after discharge, 125 (79.1%) patients had residual imaging abnormalities, mainly light ground-glass opacities (44.9%) and light patchy shadows (38.6%). Other features included fibrous cord lesions in 90 cases (57.0%), pulmonary nodules in 46 cases (29.1%), pleural thickening in 44 cases (27.8%), and mediastinal lymphadenopathy in 81 cases (51.3%). Among 158 COVID-19 survivors, 124 were tested for pulmonary function. Pulmonary function tests revealed pulmonary function impairment in 10 patients (8.1%), restrictive ventilation dysfunction in 16 (12.9%), and pulmonary diffusion dysfunction in 48 (38.7%). Residual lung lesions and pleural thickening were negatively correlated with DLCO% (P < 0.05). CONCLUSION: COVID-19 patients have characteristic findings on chest CT and pulmonary function testing. Identifying these findings is helpful to dynamically monitor the disease prognosis.

Mental health and fatigue status of the medical workforce during the COVID-19 outbreak in the Yangzhou city, China

Background When the coronavirus disease 2019 (COVID-19) erupted in Yangzhou, China, at the end of July 2021, medical workers in Yangzhou immediately joined the frontline for the fight against the pandemic. This study aimed to identify the mental health and fatigue experienced by the medical workers in Yangzhou during the COVID-19 outbreak. Methods We included 233 medical workers who participated in the front-line work for more than 1 month through the questionnaire, including doctors, nurses, medical technicians and medical students. The generalized anxiety disorder-7 (GAD-7), patient health questionnaire-9 (PHQ-9), and Fatigue self-assessment scale (FSAS) were administered to the participants and their responses were evaluated. Results A total of 233 eligible questionnaires were received. Among them, 130 people (57.08%) were probably anxious and 141 (60.52%) people were clinically depressed. Poor sleep was considered an independent risk factor for anxiety (OR = 7.164, 95% CI: 3.365 15.251, p = 0.000) and depression (OR = 6.899, 95% CI: 3.392 14.030, p = 0.000). A high PHQ-9 score was considered an independent risk factor for general fatigue (OR = 1.697, 95% CI: 1.481 1.944, p = 0.000). Mental fatigue (OR = 1.092, 95% CI: 1.027 1.161, p = 0.005) and fatigue response to sleep/rest (OR = 1.043, 95% CI: 1.011 1.076 p = 0.008) were considered independent risk factors for general fatigue. Conclusion Poor quality of sleep led to probable anxiety, depression, and general fatigue. Mental fatigue and fatigue response to sleep/rest were independent risk factors for depression, which merits attention for battling COVID-19.

COVID-19 and multisystem inflammatory syndrome in children and adolescents.

As severe acute respiratory syndrome coronavirus 2 continues to spread worldwide, there have been increasing reports from Europe, North America, Asia, and Latin America describing children and adolescents with COVID-19-associated multisystem inflammatory conditions. However, the association between multisystem inflammatory syndrome in children and COVID-19 is still unknown. We review the epidemiology, causes, clinical features, and current treatment protocols for multisystem inflammatory syndrome in children and adolescents associated with COVID-19. We also discuss the possible underlying pathophysiological mechanisms for COVID-19-induced inflammatory processes, which can lead to organ damage in paediatric patients who are severely ill. These insights provide evidence for the need to develop a clear case definition and treatment protocol for this new condition and also shed light on future therapeutic interventions and the potential for vaccine development. TRANSLATIONS: For the French, Chinese, Arabic, Spanish and Russian translations of the abstract see Supplementary Materials section.

Stable Two-Sided Satisfied Matching for Hospitals and Patients Based on the Disappointment Theory

With the global spread of COVID-19 and the shortage of medical resources, the key to improve the quality of medical services is to solve the problem of hospital–patient matching. This paper constructs a two-sided matching (TSM) model based on the psychological perceptions of hospitals and patients to realize effective matching that maximizes the satisfaction of hospitals and patients. First, we determine the influencing factors of mutual choice between hospitals and patients through investigation and literature and establish a TSM evaluation system to obtain the preference order of hospitals and patients. Then, using disappointment theory, the preference order value is transformed into preference utility, and the preference utility of hospitals and patients is transformed into the perceived utility of hospital and patient satisfaction. Finally, under the constraint of stable matching, a multiobjective optimization model of TSM is established with the goal of maximizing the sum of the perceived utility of hospitals and patients. The optimal TSM results are obtained by solving the model, and an example is given to verify the practicability and effectiveness of the model. The results show that the stable bilateral satisfaction matching model considering the psychological factors of both sides can fully meet the expectations of hospitals and patients and has certain practical value.

A global view of hypertensive disorders and diabetes mellitus during pregnancy.

Two important maternal cardiometabolic disorders (CMDs), hypertensive disorders in pregnancy (HDP) (including pre-eclampsia) and gestational diabetes mellitus (GDM), result in a large disease burden for pregnant individuals worldwide. A global consensus has not been reached about the diagnostic criteria for HDP and GDM, making it challenging to assess differences in their disease burden between countries and areas. However, both diseases show an unevenly distributed disease burden for regions with a low income or middle income, or low-income and middle-income countries (LMICs), or regions with lower sociodemographic and human development indexes. In addition to many common clinical, demographic and behavioural risk factors, the development and clinical consequences of maternal CMDs are substantially influenced by the social determinants of health, such as systemic marginalization. Although progress has been occurring in the early screening and management of HDP and GDM, the accuracy and long-term effects of such screening and management programmes are still under investigation. In addition to pharmacological therapies and lifestyle modifications at the individual level, a multilevel approach in conjunction with multisector partnership should be adopted to tackle the public health issues and health inequity resulting from maternal CMDs. The current COVID-19 pandemic has disrupted health service delivery, with women with maternal CMDs being particularly vulnerable to this public health crisis.